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全基因组关联分析发现 EFEMP1 和 KCNH8 是慢性静脉疾病的易感基因。

Genome-wide association analysis for chronic venous disease identifies EFEMP1 and KCNH8 as susceptibility loci.

机构信息

Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, 24105 Kiel, Germany.

Capio Mosel-Eifel-Clinic, 56864 Bad Bertrich, Germany.

出版信息

Sci Rep. 2017 Apr 4;7:45652. doi: 10.1038/srep45652.

Abstract

Chronic venous disease (CVD) is a multifactorial condition representing one of the most common disorders among populations of Western countries. The heritability of about 17% suggests genetic risk factors in CVD etiology. However, so far the genetic causes are unknown. We undertook the hitherto first genome-wide association study (GWAS) for CVD, analyzing more than 1.93 M SNPs in 4,942 German individuals, followed by replication in two independent German data sets. The combined analysis of discovery and replication stages (2,269 cases and 7,765 controls) yielded robust associations within the two genes EFEMP1 and KCNH8 (rs17278665, rs727139 with P < 5 × 10), and suggestive association within gene SKAP2 (rs2030136 with P < 5 × 10). Association signals of rs17278665 and rs727139 reside in regions of low linkage disequilibrium containing no other genes. Data from the ENCODE and Roadmap Epigenomics projects show that tissue specific marks overlap with the variants. SNPs rs17278665 and rs2030136 are known eQTLs. Our study demonstrates that GWAS are a valuable tool to study the genetic component of CVD. With our approach, we identified two novel genome-wide significant susceptibility loci for this common disease. Particularly, the extracellular matrix glycoprotein EFEMP1 is promising for future functional studies due to its antagonistic role in vessel development and angiogenesis.

摘要

慢性静脉疾病(CVD)是一种多因素疾病,是西方国家人群中最常见的疾病之一。约 17%的遗传性表明 CVD 病因中有遗传风险因素。然而,到目前为止,遗传原因尚不清楚。我们进行了迄今为止第一项 CVD 的全基因组关联研究(GWAS),分析了 4942 名德国个体中超过 193 万个 SNP,随后在两个独立的德国数据集中进行了复制。发现和复制阶段(2269 例病例和 7765 例对照)的综合分析在 EFEMP1 和 KCNH8 两个基因中产生了稳健的关联(rs17278665、rs727139 的 P 值均小于 5×10),在 SKAP2 基因中产生了提示性关联(rs2030136 的 P 值小于 5×10)。rs17278665 和 rs727139 的关联信号位于低连锁不平衡区域,该区域不包含其他基因。ENCODE 和 Roadmap Epigenomics 项目的数据表明,组织特异性标记与变体重叠。SNP rs17278665 和 rs2030136 是已知的 eQTL。我们的研究表明,GWAS 是研究 CVD 遗传成分的一种有价值的工具。通过我们的方法,我们确定了两个新的与该常见疾病相关的全基因组显著易感基因座。特别是,细胞外基质糖蛋白 EFEMP1 由于其在血管发育和血管生成中的拮抗作用,因此很有希望进行未来的功能研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e5d/5379489/e52e162ea9b2/srep45652-f1.jpg

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